公开(公告)号：US20210049165A1

公开(公告)日：2021-02-18

申请号：US17086564

申请日：2020-11-02

Applicant: Google LLC

Inventor： Marc Alexander Najork ,  Sujith Ravi ,  Michael Bendersky ,  Peter Shao-sen Young ,  Timothy Youngjin Sohn ,  Mingyang Zhang ,  Thomas Nelson ,  Xuanhui Wang

IPC: G06F16/248 ,  G06F16/2455 ,  G06F16/951 ,  G06F16/38

Abstract: Methods, systems, apparatus, including computer programs encoded on computer storage medium, to facilitate identification of additional trigger-terms for a structured information card. In one aspect, the method includes actions of accessing data associated with a template for presenting structured information, wherein the accessed data references (i) a label term and (ii) a value. Other actions may include obtaining a candidate label term, identifying one or more entities that are associated with the label term, identifying one or more of the entities that are associated with the candidate label term, and for each particular entity of the one or more entities that are associated with the candidate label term, associating, with the candidate label term, (i) a label term that is associated with the particular entity, and (ii) the value associated with the label term.

公开(公告)号：US20210125108A1

公开(公告)日：2021-04-29

申请号：US15333086

申请日：2016-10-24

Applicant: Google LLC

Inventor： Donald Arthur Metzler, JR. ,  Xuanhui Wang ,  Marc Alexander Najork ,  Michael Bendersky

IPC: G06N99/00 ,  G06F17/30

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a ranking machine learning model. In one aspect, a method includes the actions of receiving training data for a ranking machine learning model, the training data including training examples, and each training example including data identifying: a search query, result documents from a result list for the search query, and a result document that was selected by a user from the result list, receiving position data for each training example in the training data, the position data identifying a respective position of the selected result document in the result list for the search query in the training example; determining, for each training example in the training data, a respective selection bias value; and determining a respective importance value for each training example from the selection bias value for the training example, the importance value.

公开(公告)号：US10970293B2

公开(公告)日：2021-04-06

申请号：US16550918

申请日：2019-08-26

Applicant: Google LLC

Inventor： Mike Bendersky ,  Marc Alexander Najork ,  Donald Metzler ,  Xuanhui Wang

IPC: G06F16/2457 ,  G06F16/248 ,  G06F16/25 ,  G06F16/335

Abstract: Methods and apparatus related to using document feature(s) of a document that is responsive to a query, and optionally query feature(s) of the query, to determine a presentation characteristic for presenting a search result that corresponds to the document. In some implementations, measures associated with the document feature(s) and/or query feature(s) may be used to determine the presentation characteristic. The measures may be based on past interactions, by corresponding users, with other documents that share one or more of the document features with the document, where a plurality of the other documents are different from the document (and optionally each different from one another). In some implementations, the document and/or the other documents include, or are restricted to, documents that are access restricted.

公开(公告)号：US20250124067A1

公开(公告)日：2025-04-17

申请号：US18913702

申请日：2024-10-11

Applicant: Google LLC

Inventor： Zhen Qin ,  Rolf Jagerman ,  Kai Hui ,  Honglei Zhuang ,  Junru Wu ,  Jiaming Shen ,  Tianqi Liu ,  Jialu Liu ,  Donald Arthur Metzler, JR. ,  Xuanhui Wang ,  Michael Bendersky

IPC: G06F16/338

Abstract: Provided are computing systems, methods, and platforms that rank text with pairwise ranking prompting using a generative sequence processing model. A prompt comprising a query and sets of text associated with candidate results can be generated. The generative sequence processing model can be prompted with the prompt and perform pairwise comparisons between the sets of text in the prompt based on the query in the prompt. An output can be generated that ranks the sets of text in response to the query.

公开(公告)号：US11238058B2

公开(公告)日：2022-02-01

申请号：US17086564

申请日：2020-11-02

Applicant: Google LLC

Inventor： Marc Alexander Najork ,  Sujith Ravi ,  Michael Bendersky ,  Peter Shao-sen Young ,  Timothy Youngjin Sohn ,  Mingyang Zhang ,  Thomas Nelson ,  Xuanhui Wang

IPC: G06F16/248 ,  G06F16/2455 ,  G06F16/951 ,  G06F16/38

Abstract: Methods, systems, apparatus, including computer programs encoded on computer storage medium, to facilitate identification of additional trigger-terms for a structured information card. In one aspect, the method includes actions of accessing data associated with a template for presenting structured information, wherein the accessed data references (i) a label term and (ii) a value. Other actions may include obtaining a candidate label term, identifying one or more entities that are associated with the label term, identifying one or more of the entities that are associated with the candidate label term, and for each particular entity of the one or more entities that are associated with the candidate label term, associating, with the candidate label term, (i) a label term that is associated with the particular entity, and (ii) the value associated with the label term.